Literature DB >> 33777644

Review of Popularity and Quality Standards of Opioid-Related Smartphone Apps.

Roger Vilardaga1, Tykira Fisher1, Paige E Palenski1, Viggy Kumaresan1, Paolo Mannelli1, Maggie M Sweitzer1, Francis Joseph McClernon1, Matthew M Engelhard1, Patricia L Sabo1, Kathleen A Garrison2.   

Abstract

PURPOSE OF REVIEW: Opioid misuse, addiction, and related harm is a global crisis that affects public health and social and economic welfare. Many of the strategies being used to combat the opioid crisis could benefit from improved access and dissemination, such as that afforded by smartphone apps. The goal of this study was to characterize the purpose, audience, quality and popularity of opioid-related smartphone apps. Using web scraping, available information from 619 opioid-related apps (e.g., popularity metrics) was downloaded from Google Play, and 59 apps met criteria for review. The apps were additionally coded for quality by two raters using an 8-item screener for the American Psychiatric Association App Evaluation Model.
FINDINGS: Sixty one percent of apps targeted patients, 29% providers, 8% the general community, and 2% healthcare trainees. Regarding app purpose, 49% addressed treatment, 27% prevention, and 24% overdose. Only one app met all criteria on the screener for quality, and there was no association between a total score calculated for the screener and measures of app popularity (e.g., star ratings; R2=0.10, p=0.19).
SUMMARY: Opioid-related apps available for consumers addressed key stakeholders (patients, providers, community) and were consistent with strategies to address the opioid crisis (prevention, treatment, overdose). However, there was little evidence that available opioid-related apps meet basic quality standards, and no relationship was found between app quality and popularity. This review was conducted at the level of consumer decision-making (i.e., the app store), where only a handful of opioid-related apps met quality standards enough to warrant a more detailed evaluation of the app before recommendation for use. Because smartphone apps could be a critical tool to increase access to and utilization of opioid prevention, treatment, and recovery services, further development and testing is sorely needed.

Entities:  

Keywords:  mHealth; mobile health; opiate; opioid use disorder; overdose; smartphone app

Year:  2020        PMID: 33777644      PMCID: PMC7993400          DOI: 10.1007/s40429-020-00344-6

Source DB:  PubMed          Journal:  Curr Addict Rep


  21 in total

1.  Top-Funded Digital Health Companies And Their Impact On High-Burden, High-Cost Conditions.

Authors:  Kyan Safavi; Simon C Mathews; David W Bates; E Ray Dorsey; Adam B Cohen
Journal:  Health Aff (Millwood)       Date:  2019-01       Impact factor: 6.301

2.  National and State Treatment Need and Capacity for Opioid Agonist Medication-Assisted Treatment.

Authors:  Christopher M Jones; Melinda Campopiano; Grant Baldwin; Elinore McCance-Katz
Journal:  Am J Public Health       Date:  2015-06-11       Impact factor: 9.308

Review 3.  Treatment of Opioid-Use Disorders.

Authors:  Marc A Schuckit
Journal:  N Engl J Med       Date:  2016-07-28       Impact factor: 91.245

4.  A Hierarchical Framework for Evaluation and Informed Decision Making Regarding Smartphone Apps for Clinical Care.

Authors:  John Blake Torous; Steven Richard Chan; Shih Yee-Marie Tan Gipson; Jung Won Kim; Thuc-Quyen Nguyen; John Luo; Philip Wang
Journal:  Psychiatr Serv       Date:  2018-02-15       Impact factor: 3.084

5.  Adding an Internet-delivered treatment to an efficacious treatment package for opioid dependence.

Authors:  Darren R Christensen; Reid D Landes; Lisa Jackson; Lisa A Marsch; Michael J Mancino; Mohit P Chopra; Warren K Bickel
Journal:  J Consult Clin Psychol       Date:  2014-08-04

Review 6.  The smartphone in medicine: a review of current and potential use among physicians and students.

Authors:  Errol Ozdalga; Ark Ozdalga; Neera Ahuja
Journal:  J Med Internet Res       Date:  2012-09-27       Impact factor: 5.428

7.  Data sharing practices of medicines related apps and the mobile ecosystem: traffic, content, and network analysis.

Authors:  Quinn Grundy; Kellia Chiu; Fabian Held; Andrea Continella; Lisa Bero; Ralph Holz
Journal:  BMJ       Date:  2019-03-20

8.  Regulating digital health technologies with transparency: the case for dynamic and multi-stakeholder evaluation.

Authors:  Elena Rodriguez-Villa; John Torous
Journal:  BMC Med       Date:  2019-12-03       Impact factor: 8.775

9.  Mobile app rating scale: a new tool for assessing the quality of health mobile apps.

Authors:  Stoyan R Stoyanov; Leanne Hides; David J Kavanagh; Oksana Zelenko; Dian Tjondronegoro; Madhavan Mani
Journal:  JMIR Mhealth Uhealth       Date:  2015-03-11       Impact factor: 4.773

10.  mHealth and mobile medical Apps: a framework to assess risk and promote safer use.

Authors:  Thomas Lorchan Lewis; Jeremy C Wyatt
Journal:  J Med Internet Res       Date:  2014-09-15       Impact factor: 5.428

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  3 in total

1.  Acceptability and Usability of a Reward-Based Mobile App for Opioid Treatment Settings: Mixed Methods Pilot Study.

Authors:  Steven L Proctor; Khary K Rigg; Allen Y Tien
Journal:  JMIR Form Res       Date:  2022-10-05

2.  Potential Effects of Digital Inequality on Treatment Seeking for Opioid Use Disorder.

Authors:  Renee Garett; Sean D Young
Journal:  Int J Ment Health Addict       Date:  2021-08-27       Impact factor: 11.555

3.  Rewarding recovery: the time is now for contingency management for opioid use disorder.

Authors:  Steven L Proctor
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

  3 in total

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